Profile picture of Daniel Ciomek, Lecturer Faculty, edited by Nano Banana Pro (AI)

Daniel Ciomek, MBA

Lecturer Faculty
Email: dciomek@sfsu.edu
Location: BUS 209B
Office Hours:
Tue: 12:30 p.m. - 1:30 p.m.In-Person; 5:30p.m.-7:00p.m. via Zoom (FALL 2026)
Thu: 10:00 a.m. - 10:30 a.m.via Zoom (FALL 2026)
Role
Faculty
Department
Information Systems

 

Daniel Ciomek teaches Management Information Systems (MIS) and AI for business at SF State’s Lam Family College of Business, where he has taught more than 15,000 undergraduates since 2012. A 2025 Academic Senate Distinguished Faculty Award winner for Excellence in Teaching and an inaugural Lam-Larsen Distinguished Teaching Professor (2021), he is known for hands-on courses in which students use professional tools such as Excel and generative AI, and for launching the campus Microsoft Office Specialist certification program in 2018. His interests include digital health, wearable technology and self-tracking (Quantified Self, AgeTech), and how AI can help people learn and work better.*

Education: 

  • Master of Business Administration (MBA), San Francisco State University
  • Diplom-Betriebswirt, Fulda University of Applied Sciences, Germany

Selected Teaching & Learning Certificates:

  • Community Of Networking Faculty Investigating Data Ethics (CONFIDE, Cal Poly)
  • AI Tools for Teaching & Learning, CSU Chancellor's Office
  • Equity Minded Pedagogy, CSU Fresno
  • Excellence in Online Pedagogy, SFSU Center for Equity and Excellence in Teaching and Learning (CEETL)
  • Quality Learning & Teaching (QLT) Certificate (2022), SFSU Center for Equity and Excellence in Teaching and Learning (CEETL)
  • ​Transformative Teaching Through Transitions (TTTT) Pedagogies for Inclusive Excellence (PIE) Certificate (2022), SFSU Center for Equity and Excellence in Teaching and Learning (CEETL)

Microsoft Office Specialist (MOS) Program: 

Areas of Interests: 

  • Artificial Intelligence (AI) in business and education; generative AI literacy with judgment: prompting, evaluating output, and weighing ethics and risk
  • Internet of Things & Digital Health (Self-Tracking/Quantified Self, Wearable Tech, AgeTech)
  • E-Commerce, data security, data privacy and ethics
  • Industry focus: Education, Healthcare, Telecommunication

Honors and Awards: 

* This biography was developed with the assistance of generative AI (ChatGPT, Claude) and reviewed and edited by the author. Image modified by the author with the assistance of generative AI (Nano Banana Pro).